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Ponytail Gain Scoreboard

Shows benchmark figures for how much less code, cost and time the Ponytail skill reportedly uses.

Source Download skill
Repository
DietrichGebert/ponytail
Stars
182,496
Licence
MIT
Files
1 file

What it does

When invoked, this skill displays a one-time text scoreboard of published benchmark averages for the Ponytail skill, comparing an agent with the skill against the same agent without it. It shows bars for lines of code, output tokens, cost and time, plus pass rates on hidden correctness and safety checks. It does not change any settings, write files or save anything, and it does not claim savings for your specific project. It is a display of pre-published numbers, not an analysis of your code.

Great for

  • Developers who want to read the published benchmark summary before installing the wider Ponytail skill
  • Students or curious users who want to see how a skill's impact is reported

Skip it if

  • Measuring real savings in your own repo: the figures are averages from a separate benchmark, and the skill explicitly says it cannot compute per-repo savings here (use the linked commands for that)
  • Anyone needing independently verified numbers: the figures come from the project's own published benchmark and have not been checked in these files

Try asking

  • “Show me the Ponytail gain scoreboard”
  • “What does the Ponytail benchmark say about cost and lines of code?”
  • “Display the ponytail impact figures”
Step-by-step guide: how to use Ponytail Gain ScoreboardInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 1 original files, the MIT licence and an attribution note.

    ponytail-gain.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip ponytail-gain.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip ponytail-gain.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Treat the numbers as the project's reported benchmark averages (39 tasks, 5 runs each, Opus 5.5), and check the linked benchmark file if you need the methodology
  • For real figures about your own repository, use the companion /ponytail-debt command mentioned on the scoreboard

What's inside

  • SKILL.md

Redistributed unmodified from DietrichGebert/ponytail under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.